Cofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, KS, USA.
Department of Psychology, University of Kentucky, Lexington, KY, USA.
Psychopharmacology (Berl). 2021 Aug;238(8):2047-2057. doi: 10.1007/s00213-021-05830-x. Epub 2021 Apr 10.
A growing body of research suggests that substance use disorder (SUD) may be characterized as disorders of decision making. However, drug choice studies assessing drug-associated decision making often lack more complex and dynamic conditions that better approximate contexts outside the laboratory and may lead to incomplete conclusions regarding the nature of drug-associated value.
The current study assessed isomorphic (choice between identical food options) and allomorphic (choice between remifentanil [REMI] and food) choice across dynamically changing reward probabilities, magnitudes, and differentially reward-predictive stimuli in male rats to better understand determinants of drug value. Choice data were analyzed at aggregate and choice-by-choice levels using quantitative matching and reinforcement learning (RL) models, respectively.
Reductions in reward probability or magnitude independently reduced preferences for food and REMI commodities. Inclusion of reward-predictive cues significantly increased preference for food and REMI rewards. Model comparisons revealed that reward-predictive stimuli significantly altered the economic substitutability of food and REMI rewards at both levels of analysis. Furthermore, model comparisons supported the reformulation of reward value updating in RL models from independent terms to a shared, relative term, more akin to matching models.
The results indicate that value-based quantitative choice models can accurately capture choice determinants within complex decision-making contexts and corroborate drug choice as a multidimensional valuation process. Collectively, the present study indicates commonalities in decision-making for drug and non-drug rewards, validates the use of economic-based SUD therapies (e.g., contingency management), and implicates the neurobehavioral processes underlying drug-associated decision-making as a potential avenue for future SUD treatment.
越来越多的研究表明,物质使用障碍(SUD)可能表现为决策障碍。然而,评估药物相关决策的药物选择研究往往缺乏更复杂和动态的条件,这些条件更接近实验室外的情况,可能导致对药物相关价值性质的不完全结论。
本研究评估了雄性大鼠在动态变化的奖励概率、幅度和不同奖励预测刺激下的同态(相同食物选项之间的选择)和异态(瑞马唑仑[REMI]和食物之间的选择)选择,以更好地了解药物价值的决定因素。使用定量匹配和强化学习(RL)模型,分别在总水平和选择水平上分析选择数据。
奖励概率或幅度的降低独立降低了对食物和 REMI 商品的偏好。奖励预测线索的纳入显著增加了对食物和 REMI 奖励的偏好。模型比较表明,奖励预测线索在两个分析水平上显著改变了食物和 REMI 奖励的经济可替代性。此外,模型比较支持 RL 模型中从独立项到共享相对项的奖励价值更新的重新表述,更类似于匹配模型。
结果表明,基于价值的定量选择模型可以准确地捕获复杂决策情境中的选择决定因素,并验证了药物选择作为多维估值过程。总的来说,本研究表明药物和非药物奖励的决策具有共同性,验证了基于经济的 SUD 治疗方法(例如,强化管理)的使用,并暗示了药物相关决策背后的神经行为过程可能是未来 SUD 治疗的一个途径。